Intel FPGA AI suite accuracy drop

Hello @JohnT_Intel,

I achieve a performance of 98.89% when running the model on CPU/GPU (in TensorFlow and with the IR OpenVINO model). However, when running the same model in the FPGA with Intel FPGA AI Suite I get 74.64%. Interestingly, when employing similar tools from a different software vendor, I maintain the high performance of 98.89% on the FPGA but not with this Intel tool.

The Hetero plugin is enabled during graph compilation, as evidenced in the comment above with the dla_compiler command. HETERO pluging is also included in the plugins.xml file that uses dla_benchmark application. HETERO plugin is also included in the plugins.xml file used by the dla_benchmark application. If there is any other option to be enabled to compile the Intel PGA AI suite IP core, it should be done because I use create_hps_image.sh script form he Intel FPGA AI Suite SoC Design Example User Guide, and HETERO plugin is used to run the example model.

<ie>
<plugins>
<plugin name="GNA" location="libopenvino_intel_gna_plugin.so">
</plugin>
<plugin name="HETERO" location="libcoreDLAHeteroPlugin.so">
</plugin>
<plugin name="CPU" location="libopenvino_arm_cpu_plugin.so">
</plugin>
<plugin name="MULTI" location="libopenvino_auto_plugin.so">
</plugin>
<plugin name="GPU" location="libopenvino_intel_gpu_plugin.so">
</plugin>
<plugin name="MYRIAD" location="libopenvino_intel_myriad_plugin.so">
</plugin>
<plugin name="FPGA" location="libcoreDlaRuntimePlugin.so">
</plugin>
</plugins>
</ie>